Mobile Networks and Applications

, Volume 22, Issue 5, pp 796–805 | Cite as

Performance Evaluation of Non-prefiltering vs. Time Reversal Prefiltering in Distributed and Uncoordinated IR-UWB Ad-Hoc Networks

  • Giuseppe CasoEmail author
  • Luca De Nardis
  • Mai T. Phuong Le
  • Flavio Maschietti
  • Jocelyn Fiorina
  • Maria-Gabriella Di Benedetto


Time Reversal (TR) is a prefiltering scheme mostly analyzed in the context of centralized and synchronous IR-UWB networks, in order to leverage the trade-off between communication performance and device complexity, in particular in presence of multiuser interference. Several strong assumptions have been typically adopted in the analysis of TR, such as the absence of Inter-Symbol / Inter-Frame Interference (ISI/IFI) and multipath dispersion due to complex signal propagation. This work has the main goal of comparing the performance of TR-based systems with traditional non-prefiltered schemes, in the novel context of a distributed and uncoordinated IR-UWB network, under more realistic assumptions including the presence of ISI/IFI and multipath dispersion. Results show that, lack of power control and imperfect channel knowledge affect the performance of both non-prefiltered and TR systems; in these conditions, TR prefiltering still guarantees a performance improvement in sparse/low-loaded and overloaded network scenarios, while the opposite is true for less extreme scenarios, calling for the developement of an adaptive scheme that enables/disables TR prefiltering depending on network conditions.


IR-UWB Time hopping Time reversal Ad-hoc distributed networks Multiuser interference Inter-symbol interference 


  1. 1.
    Strohmer T, Emami M, Hanses J, Papanicolaou G, Paulraj A (2004) Application of Time-Reversal with MMSE equalizer to UWB communications. In: IEEE Global Telecommunications Conference, vol 5. IEEE Press, pp 3123–3127Google Scholar
  2. 2.
    Popovski K, Wisocki BJ, Wisocki TA (2007) Modelling and comparative performance analysis of a Time-Reversed UWB system. Springer EURASIP J .Wirel Commun Netw 1:1–11Google Scholar
  3. 3.
    Fiorina J, Capodanno G, Di Benedetto M.-G. (2011) Impact of time reversal on Multi-User interference in IR-UWB. In: IEEE International Conference on Ultra-Wideband. IEEE Press, pp 415–419Google Scholar
  4. 4.
    Bizaki KH, Alizadeh S (2012) Mitigation of channel estimation error in TR-UWB system based on a novel MMSE equalizer. Springer Ann Telecommun 68(5):317–325Google Scholar
  5. 5.
    Ferrante GC (2015) Shaping interference towards optimality of modern wireless communication transceivers. PhD Thesis. La Sapienza, University of Rome and SupélecGoogle Scholar
  6. 6.
    De Nardis L, Fiorina J, Panaitopol D, Di Benedetto M-G (2013) Combining UWB with time reversal for improved communication and positioning. Springer Telecommun Syst 52(2):1145–1158CrossRefGoogle Scholar
  7. 7.
    Giancola G, De Nardis L, Di Benedetto MG (2003) Multiuser interference in Power-Unbalanced ultra wide band systems: Analysis and verification. In: IEEE Conference on Ultra Wideband Systems and Technologies. IEEE Press, pp 325–329Google Scholar
  8. 8.
    Fiorina J, Domenicali D (2009) The non validity of the gaussian approximation for multi-user interference in ulta wide band impulse radio: from an inconvenience to an advantage. IEEE Trans Wireless Commun 8(11):5483–5489CrossRefGoogle Scholar
  9. 9.
    Panaitopol D (2011) Ultra wide band ad-hoc sensor networks: a multi-layer analysis. PhD Thesis. Supélec and National University of SingaporeGoogle Scholar
  10. 10.
    Mehbodniya A, Aissa S, Adachi F (2011) BER Analysis of DS-UWB system employing a laplace distribution model. IEICE Elect Expr 8(13):1089–1095CrossRefGoogle Scholar
  11. 11.
    Ahmed QZ, Park kH, Alouini M-S (2015) Ultrawide bandwidth receiver based on a multivariate generalized gaussian distribution. IEEE Trans Wireless Commun 14(4):1800–1810CrossRefGoogle Scholar
  12. 12.
    Deleuze AL, Ciblat P, Le Martret CJ (2005) Inter-symbol / inter-frame interference in time-hopping ultra wideband impulse radio system. In: IEEE International Conference on Ultra-Wideband. IEEE Press, p 6Google Scholar
  13. 13.
    Yoon E, Kim SY, Yun U (2015) A Time-Reversal-Based transmission using predistortion for intersymbol interference alignment. IEEE Trans Commun 63(2):455–465CrossRefGoogle Scholar
  14. 14.
    Di Benedetto MG, Giancola G (2004) Understanding ultra wide band radio fundamentals, Prentice HallGoogle Scholar
  15. 15.
    Chen Y, et al. (2014) Time-Reversal Wireless paradigm for green internet of things: an overview. IEEE Internet Things J 1(1):81–98CrossRefGoogle Scholar
  16. 16.
    Viteri-Mera CA, Teixeira FL, Sainath K (2015) Interference-nulling time-reversal beamforming for mm-Wave massive MIMO systems. In: IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems. IEEE Press, pp 1–5Google Scholar
  17. 17.
    Ma H, Wang B, Chen Y, Ray Liu KJ (2016) Time-Reversal Tunneling effects for cloud radio access network. IEEE Trans Wireless Commun 15(4):3030–3043CrossRefGoogle Scholar
  18. 18.
    Palomar DP, Jiang Y (2006) MIMO transceiver design via majorization theory. Foundations and trends in communications and information theory 3(4)Google Scholar
  19. 19.
    Win MZ, Scholtz RA (1998) On the energy capture of ultrawide bandwidth signals in dense multipath environments. IEEE Commun Lett 2(9):245–247CrossRefGoogle Scholar
  20. 20.
    Cassioli D, Win MZ, Vatalaro F, Molisch AF (2002) Performance of Low-Complexity rake reception in a realistic UWB channel. In: IEEE International Conference on Communications, vol 2. IEEE Press, pp 763–767Google Scholar
  21. 21.
    Foerster JR, Pendergrass M, Molisch AF (2003) A channel model for ultrawideband indoor communication. In: IEEE International Symposium on Wireless Personal Multimedia Communication. IEEE PressGoogle Scholar
  22. 22.
    Ihara S (1978) On the capacity of channels with additive non-gaussian noise. Elsevier Information and Control 37(1):34–39MathSciNetCrossRefzbMATHGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Giuseppe Caso
    • 1
    Email author
  • Luca De Nardis
    • 1
  • Mai T. Phuong Le
    • 1
  • Flavio Maschietti
    • 2
  • Jocelyn Fiorina
    • 3
  • Maria-Gabriella Di Benedetto
    • 1
  1. 1.Department of Information Engineering, Electronics and Telecommunications (DIET)Sapienza University of RomeRomeItaly
  2. 2.Department of Mobile CommunicationsEURECOMBiotFrance
  3. 3.Department of TelecommunicationsCentraleSupélecGif Sur IvetteFrance

Personalised recommendations